The need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …

A crime is a deliberate act that can cause physical or psychological harm, as well as
property damage or loss, and can lead to punishment by a state or other authority according …

In this article, we propose a novel self-training approach named Crowd-SDNet that enables
a typical object detector trained only with point-level annotations (ie, objects are labeled with …

Vehicle detection in traffic surveillance images is an important approach to obtain vehicle
data and rich traffic flow parameters. Recently, deep learning based methods have been …

The task of action recognition in dark videos is useful in various scenarios, eg, night
surveillance and self-driving at night. Though progress has been made in action recognition …

Recently, unmanned aerial vehicles (UAVs) enhance connectivity and accessibility for
civilian and military applications. A group of UAVs with on‐board cameras usually monitors …

Vehicle monitoring using camera networks is an important task for traffic applications.
Moreover, it becomes critical in nighttime, when the probability of an accident considerably …

Traffic cameras are a widely available source of open data that offer tremendous value to
public authorities by providing real-time statistics to understand and monitor the activity …

Automotive industry is progressing forward toward the future, where the role of driver is
becoming smaller and leading to become ideally driverless. Designing a fully driverless car …

An important and challenging aspect of developing an intelligent transportation system is the
identification of nighttime vehicles. Most accidents occur at night owing to the absence of …